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Unstructured data in marketing

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Cited by:

  1. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
  2. Pantano, Eleonora & Dennis, Charles, 2019. "Store buildings as tourist attractions: Mining retail meaning of store building pictures through a machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 304-310.
  3. Setten, Eric & Chen, Steven, 2024. "Playing with emotions: Text analysis of emotional tones in gender-casted Children’s media," Journal of Business Research, Elsevier, vol. 175(C).
  4. de Haan, Evert & Padigar, Manjunath & El Kihal, Siham & Kübler, Raoul & Wieringa, Jaap E., 2024. "Unstructured data research in business: Toward a structured approach," Journal of Business Research, Elsevier, vol. 177(C).
  5. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
  6. Ayat Zaki Ahmed & Manuel Rodríguez-Díaz, 2020. "Significant Labels in Sentiment Analysis of Online Customer Reviews of Airlines," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
  7. Stefan Stremersch & Elke Cabooter & Ivan Guitart & Nuno Camacho, 2024. "Customer insights for innovation : A framework and research agenda for marketing," Post-Print hal-04731671, HAL.
  8. Annamaria Tuan & Sebastiano Grandi, 2018. "Emerging trends in qualitative research. A focus on Social Media," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(4), pages 17-26.
  9. Milne, George R. & Villarroel Ordenes, Francisco & Kaplan, Begum, 2020. "Mindful consumption: Three consumer segment views," Australasian marketing journal, Elsevier, vol. 28(1), pages 3-10.
  10. Gandhi, Mohina & Kar, Arpan Kumar, 2022. "How do Fortune firms build a social presence on social media platforms? Insights from multi-modal analytics," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  11. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
  12. Luigi M. De Luca & Dennis Herhausen & Gabriele Troilo & Andrea Rossi, 2021. "How and when do big data investments pay off? The role of marketing affordances and service innovation," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 790-810, July.
  13. Miikka Blomster & Timo Koivumäki, 2022. "Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing," Information Systems and e-Business Management, Springer, vol. 20(1), pages 123-169, March.
  14. Yoshihiro Nishi & Aiko Suge & Hiroshi Takahashi, 2021. "Construction of a news article evaluation model utilizing high-frequency data and a large-scale language generation model," SN Business & Economics, Springer, vol. 1(8), pages 1-18, August.
  15. Xin (Shane) Wang & Neil Bendle & Yinjie Pan, 2024. "Beyond text: Marketing strategy in a world turned upside down," Journal of the Academy of Marketing Science, Springer, vol. 52(4), pages 939-954, July.
  16. Holmlund, Maria & Van Vaerenbergh, Yves & Ciuchita, Robert & Ravald, Annika & Sarantopoulos, Panagiotis & Ordenes, Francisco Villarroel & Zaki, Mohamed, 2020. "Customer experience management in the age of big data analytics: A strategic framework," Journal of Business Research, Elsevier, vol. 116(C), pages 356-365.
  17. Daniele Dalli, 2020. "Editorial," Italian Journal of Marketing, Springer, vol. 2020(1), pages 3-5, March.
  18. Ye Hu & Ming Chen & Sam Hui, 2023. "Sentiment deviations in responses to movie trailers across social media platforms," Marketing Letters, Springer, vol. 34(3), pages 463-481, September.
  19. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
  20. Shuili Du & Assaad El Akremi & Ming Jia, 2023. "Quantitative Research on Corporate Social Responsibility: A Quest for Relevance and Rigor in a Quickly Evolving, Turbulent World," Journal of Business Ethics, Springer, vol. 187(1), pages 1-15, September.
  21. Feng, Cong & Fay, Scott, 2022. "An empirical investigation of forward-looking retailer performance using parking lot traffic data derived from satellite imagery," Journal of Retailing, Elsevier, vol. 98(4), pages 633-646.
  22. Kübler, Raoul V. & Colicev, Anatoli & Pauwels, Koen H., 2020. "Social Media's Impact on the Consumer Mindset: When to Use Which Sentiment Extraction Tool?," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 136-155.
  23. Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
  24. Katsumata, Sotaro & Nishimoto, Akihiro & Kannan, P.K., 2023. "Brand competitiveness and resilience to exogenous shock: Usage of smartphone apps during the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  25. Sotaro Katsumata & Seungjin Kim, 2020. "The Text-Score Allocation Model: Finding Latent Topics of Online Review Documents and Multi-Item Ratings," Discussion Papers in Economics and Business 20-01, Osaka University, Graduate School of Economics.
  26. Blasco-Arcas, Lorena & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2023. "Leveraging user behavior and data science technologies for management: An overview," Journal of Business Research, Elsevier, vol. 154(C).
  27. Neil A. Morgan & Kimberly A. Whitler & Hui Feng & Simos Chari, 2019. "Research in marketing strategy," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 4-29, January.
  28. Pyper, Keith & Marie Doherty, Anne & Gounaris, Spiros & Wilson, Alan, 2022. "A contingency-based approach to the nexus between international strategic brand management and export performance," Journal of Business Research, Elsevier, vol. 148(C), pages 472-488.
  29. Song, Danyang & Wang, Shichao & Ou, Carol & Chen, Xi & Liu, Ruitao & Tang, Haihong, 2021. "How do video features matter in visual advertising? An elaboration likelihood model perspective," Other publications TiSEM 37845995-5426-470a-8630-8, Tilburg University, School of Economics and Management.
  30. Mariani, Marcello M. & Borghi, Matteo & Laker, Benjamin, 2023. "Do submission devices influence online review ratings differently across different types of platforms? A big data analysis," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  31. Shrihari Sridhar & Eric Fang, 2019. "New vistas for marketing strategy: digital, data-rich, and developing market (D3) environments," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 977-985, November.
  32. Sykora, Martin & Elayan, Suzanne & Hodgkinson, Ian R. & Jackson, Thomas W. & West, Andrew, 2022. "The power of emotions: Leveraging user generated content for customer experience management," Journal of Business Research, Elsevier, vol. 144(C), pages 997-1006.
  33. Kuchta Martin, 2020. "Extent of data utilization within digital marketing processes," Studia Commercialia Bratislavensia, Sciendo, vol. 13(43), pages 35-43, March.
  34. Huang, Ming-Hui & Rust, Roland T., 2022. "A Framework for Collaborative Artificial Intelligence in Marketing," Journal of Retailing, Elsevier, vol. 98(2), pages 209-223.
  35. Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
  36. Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
  37. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  38. Joaquin Sanchez & Carmen Abril & Michael Haenlein, 2020. "Competitive spillover elasticities of electronic word of mouth: an application to the soft drink industry," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 270-287, March.
  39. Ayat Zaki Ahmed & Manuel Rodríguez Díaz, 2022. "A Methodology for Machine-Learning Content Analysis to Define the Key Labels in the Titles of Online Customer Reviews with the Rating Evaluation," Sustainability, MDPI, vol. 14(15), pages 1-31, July.
  40. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
  41. Abhishek Borah & Francesca Bonetti & Angelito Calma & José Martí-Parreño, 2023. "The Journal of the Academy of Marketing Science at 50: A historical analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 222-243, January.
  42. Mitra, Satanik & Jenamani, Mamata, 2020. "OBIM: A computational model to estimate brand image from online consumer review," Journal of Business Research, Elsevier, vol. 114(C), pages 213-226.
  43. Li, Xi & Shi, Mengze & Wang, Xin (Shane), 2019. "Video mining: Measuring visual information using automatic methods," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 216-231.
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